DocumentCode
3511544
Title
Intelligent System Development of Dynamic Analysis and Optimal Synthesis of Micro-Components Web-Based
Author
Gong Xiaoyan ; Xue He ; Jiang Pingyu
Author_Institution
Sch. of Mech. Eng., Xi´an Univ. of Sci. & Technol., Xi´an
fYear
2008
fDate
1-3 Nov. 2008
Firstpage
342
Lastpage
345
Abstract
In order to meet the requirements of MEMCAD development, realization method for dynamic analysis and optimal synthesis for micro-components (DAOPMC) was studied in this paper. There, the finite element method (FEM) was used to analyze the dynamic properties of coupled-energy-domain of virtual prototype instances and obtain the optimization data, the rough set theory (RST) and the genetic algorithm (GA) were used to dispose the data to confirm key variable and restriction condition in the synthesis optimization, based above information obtained, the regression analysis (RA) and GA were used to establish the synthesis optimization model. Finally, the intelligent prototype system of (DAOPMC) was developed based on IDSS, JAVA, SQL, PRO/E and ANSYS etc. and the dynamic analysis and optimal synthesis of a thermal actuated micro-pump was carried out as a demonstration in this paper.
Keywords
electronic design automation; finite element analysis; genetic algorithms; micropumps; regression analysis; rough set theory; ANSYS; FEM; GA; IDSS; JAVA; MEMCAD; PRO/E; SQL; actuated micropump; dynamic analysis and optimal synthesis for microcomponents; finite element method; genetic algorithm; microcomponents Web-based; regression analysis; rough set theory; Algorithm design and analysis; Finite element methods; Genetic algorithms; Information analysis; Intelligent systems; Optimization methods; Prototypes; Regression analysis; Set theory; Virtual prototyping; Dynamic analysis; FEM; GA; IDSS; Micro-component; RST; optimal synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3391-9
Electronic_ISBN
978-0-7695-3391-9
Type
conf
DOI
10.1109/ICINIS.2008.104
Filename
4683235
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